International Journal of Knowledge Engineering and Data Mining  (IJKEDM)
ISSN (Online): 1755-2095  -  ISSN (Print): 1755-2087

Published in 4 issues per year  (View Subscription Price)

IJKEDM publishes theoretical and practical research development on knowledge engineering and data mining. The journal is devoted to techniques and skills used for knowledgebase systems or intelligent applications development, including all areas of data architecture, data integration and data exchange, data mining, knowledge acquisition, representation, dissemination, codification and discovery techniques, and their technologies. It also focuses on their applications and case studies in industrial, medical and business sectors.

   Objectives

The objectives of IJKEDM are to establish an effective channel of communication between managers, users, knowledge engineers, IT professionals, medical informaticians, academic and research institutions and persons concerned with the development knowledgebase systems and intelligent applications. It also aims to promote and coordinate developments in the field of knowledge engineering and data mining. IJKEDM aims to highlight theoretical and practical research in data analysis architectures, models, methodologies, techniques and technologies in knowledge engineering and data mining, and their application.

   Readership

IJKEDM provides a vehicle to help business analysts, knowledge engineers, IT professionals, medical informaticians, academics and researchers to disseminate information and to learn from each other's work. Readers will be able to learn and obtain techniques and skills in knowledge engineering and data mining. Readers will learn future directions and research development in data analysis, data integration and exchange, data mining techniques, knowledge acquisition, representation and discovery in knowledgebase system, and their applications.

   Contents

IJKEDM is devoted to the publications of high quality papers on theoretical developments and practical applications in knowledge engineering and data mining. The journal publishes original papers, state-of-the-art reviews, technical reports and case studies. Special issues devoted to current issues in knowledge engineering and data mining will occasionally be published.

   Subject Coverage

Subjects coverage includes but is not limited to

• Ontology engineering
• Knowledge representation techniques
• Knowledge retrieval
• Text mining
• Knowledge-based/rule-based/case-based/expert system design
• Knowledge acquisition, dissemination, discovery methodologies and technologies
• Algorithms for data mining
• Data models
• Database design and architecture
• Intelligent system design
• Data integration and exchange
• Data security and data integrity
• Database administration and maintenance issues
• Applications and case studies

   Specific Notes for Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper was not originally copyrighted and if it has been completely re-written).

All papers are refereed through a double blind process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Submission of Papers web-page.

You may send one copy in the form of an MS Word file attached to an e-mail (details of file formats in Author Guidelines) to Dr Adela Lau

Please include in your submission the title of the Journal

   Editors and Members of the Editorial Board

Editor in Chief

Dr. Adela S.M. Lau
Medical Informatics and Knowledge Management Specialist
The Hong Kong Polytechnic University
School of Nursing
Hung Hom, Kowloon
HONG KONG (CHINA)
adela.lau@inet.polyu.edu.hk

Editorial Assistant

Willie Lui
Carrier HK Ltd
HONG KONG (CHINA)

Editorial Board Members

Prof. Hamid R. ArabniaHa
University of Georgia
USA

Prof. Joseph DavisJo
The University of Sydney
AUSTRALIA

Prof. Maling EbrahimpourMa
Roger Williams University
USA

Prof. Ephrem EyobEp
Virginia State University
USA

Prof. Wynne HsuWy
National University of Singapore
SINGAPORE

Prof. Kyoichi Jim KijimaKy
Tokyo Institute of Technology
JAPAN

Prof. Chi-Guhn LeeCh
University of Toronto
CANADA

Prof. Jay LeeJa
University of Cincinnati
USA

Prof. Jinyan LiJi
Nanyang Technological University
SINGAPORE

Prof. Dr. Binshan LinBi
Louisiana State University in Shreveport
USA

Prof. Jye-Chyi (JC) LuJy
Georgia Institute of Technology
USA

Prof. Nikos MastorakisNi
Hellenic Naval Academy
GREECE

Prof. Yoshiteru NakamorYo
Japan Advanced Institute of Science and Technology
JAPAN

Prof. Brézillon PatrickBr
Pierre et Marie Curie University
FRANCE

Dr. William Wei SongWi
University of Durham
UK

Prof. Lotfi A. ZadehLo
University of California, Berkeley
USA